صورة الغلاف

Performance evaluation of Black Hole Algorithm, Gravitational Search Algorithm and Particle Swarm Optimization

Particle Swarm Optimization (PSO) and Gravitational Search Algorithm are a well known population-based heuristic optimization techniques. PSO is inspired from a motion flock of birds searching for a food. In PSO, a bird adjusts its position according to its own ‘‘experience’’ as well as the experien...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Zuwairie, Ibrahim, Mohamad Nizam, Aliman, Fardila, Naim, Sophan Wahyudi, Nawawi, Shahdan, Sudin
التنسيق: مقال
اللغة:English
منشور في: UTM Press 2015
الموضوعات:
TK Electrical engineering. Electronics Nuclear engineering
الوصول للمادة أونلاين:http://umpir.ump.edu.my/id/eprint/9269/1/Performance%20evaluation%20of%20Black%20Hole%20Algorithm%2C%20Gravitational%20Search%20Algorithm%20and%20Particle%20Swarm%20Optimization.pdf
http://umpir.ump.edu.my/id/eprint/9269/
http://www.mjfas.utm.my/index.php/mjfas/article/view/342
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الانترنت

http://umpir.ump.edu.my/id/eprint/9269/1/Performance%20evaluation%20of%20Black%20Hole%20Algorithm%2C%20Gravitational%20Search%20Algorithm%20and%20Particle%20Swarm%20Optimization.pdf
http://umpir.ump.edu.my/id/eprint/9269/
http://www.mjfas.utm.my/index.php/mjfas/article/view/342

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